What is one limitation of simulations?

Simulations are powerful tools that help model complex systems and predict outcomes based on certain assumptions and input parameters. However, one notable limitation is that they may not capture every real-world factor or account for unexpected outcomes. This arises because simulations often rely on predefined models and variables that can simplify or overlook the complexities of the actual environment.

For instance, when simulating weather patterns, a model might incorporate temperature, humidity, and wind speed but might not adequately model rare phenomena like sudden storms or the impact of local geography. Consequently, while simulations can provide valuable insights and approximations, they inherently lack the ability to account for all the dynamic variables and unforeseen events present in real life, potentially leading to conclusions that do not hold true in practice.

Understanding this limitation is crucial when interpreting simulation results, particularly in fields like engineering, economics, or ecological studies, where real-world unpredictability can significantly influence outcomes.